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基于最大似然估计的优化盲检测方案

An Advanced Blind Detection Scheme Based on Maximum Likelihood Estimate
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摘要 提出了一种应用于空时分组编码系统的优化盲检测方案,可以达到降低计算复杂度之目的。文章首先建立了空时分组编码的系统模型,并且介绍了最大似然估计的理论。在此基础上,提出盲检测迭代算法终止时机因子的概念,通过调节终止时机因子,可以平衡降低误码率和减少运算量之间的关系,以满足实际情况的需要。理论分析表明,此方法具有可行性,而通过Matlab仿真得到在计算量有限的情况下,通过减小终止时机因子并且增加级联在一起的空时分组码矩阵个数,可以降低比特误码率。 In this paper, an advanced blind detection scheme which can be applied to space-tlme block code system is proposed, and this scheme can reduce calculation complicacy, This text establishes a model of space-time block code system at first, and also introduces the theory of maximum likelihood estimate. Based on these which have been described above, the conception of termination occasion gene using in blind detection iterative algorithm is advanced, and the method of adjusting termination occasion gene can balance bit-error-rate reducing and operation cycles decreasing to fulfill actual requirement. The analysis indicates that this solution is feasible; furthermore, the Matlab simulation results illustrate that, in finite calculation capacity, decreasing termination occasion gene can increase the concatenation space-time block coding matrices which have positive effect on bit-error-rate reducing.
出处 《金陵科技学院学报》 2008年第2期23-25,共3页 Journal of Jinling Institute of Technology
基金 江苏省重点实验室开放基金(JK20050304)
关键词 空时分组编码 最大似然估计 盲检测 迭代算法 space-time block coding maximum likelihood estimate blind detection iterative algo-rithm
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参考文献8

  • 1[1]Jankirman M.Space-Time Codes and MIMO Systems[M].Boston,London:Artech House,2004:23-26
  • 2[2]Yin W.Optimum Power Allocation for Variable Rate BLAST-based MIMO MCCDMA Systems[D].A Thesis Submitted for the Degree of Doctoral of Philosophy in the Faculty of Science,Agriculture and Engineering University of Newcastle upon Tyne,2006:32-37
  • 3[3]Larsson E G,Stoics P.Space-Time Block Coding for Wireless Communications[M].Cambridge:Cambridge University Press.2003:35-66
  • 4[4]Stoics P,Moses R.Introduction to Spectral Anslysis[M].NJ:Prentice Hall,Upper Saddle River,1997:47-54
  • 5[5]Larsson E G,Stocia P,Li J.Space-time Block Codes:ML Detection for Unknown channels and unstructured interference[J].IEEE Transactions on Signal Processing,2003,51 (2):362-372
  • 6[6]Moguez J and Castedo L.Semiblind Space-time Decoding in Wireless Communications:A Maximum Likelihood Approach[J].Signal Processing.2002,82(1):1-18
  • 7[7]Stoica P,Ganesan G.Space-time block codes:Trained,blind and semi-blind detection[J].Digital Signal Processing.2003,13(1):93-105
  • 8[8]Tong L,Xu G and Kailath T.Blind Identification and Equalization Based on Second-order Statistics:A Time Domain Approach[J].IEEE Transactions on Information Theory.1994,40(2):340-349

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